Lead Data Scientist


Location: Canberra

Due to the Classified nature of certain projects, this role is only available to Australian Citizens.

We’re representing the Cognitive and AI Management Consultancy division of a global organisation. Their team is made up of a wide collective of talented individuals across cognitive computing, big data, analytics, digital business design and anthropology. They collaboratively tackle their clients’ problems, massage the pain points and extract the business or organisational value.  

Businesses are waking up to the true potential of the data they have been collecting, but not necessarily following. There are hidden trends, untold stories and untapped opportunities within huge amounts of structured and unstructured data.

A Day in the Life
As the Lead Scientist, you’ll design, develop and implement flexible and extensible analytic solutions, targeting areas of the client’s business such as customer, product and supply chain.

You’ll be comfortable presenting findings to senior stakeholders (both technical and non-technical), guiding junior staff, scoping and pricing proposed work, designing practical team structures, structuring and writing a deliverable, and coding algorithms.

 Listing the day to day:

  • Leading clients in the development of their data and analytics governance and environments
  • Lead and manage the procurement and installation of analytic toolsets in relation to client goals and maturity
  • Lead and manage a co-sourced team comprising of permanent and contract employees, client staff and subcontractors and vendors. You will be accountable for cost, performance schedule and quality of assigned projects
  • Lead and manage the design and development of analytics assets, including the identification and collection of data required to solve a business problem
  • Design, develop and implement algorithms and solutions and predictive models
  • Design, develop and implement approaches to productionise model scoring and closed loop feedback paths to enable test and learn / model validation approaches

So what about you?

You’ll have a sound understanding of digital and cognitive technologies and analytics, information management and business process based solutions. On top of that, you’ll possess a high level understanding of systems integration, relationship databases and non-relational data stores.

And where do you specialise? We’d love to talk if you can offer a strength in one or more of these areas. 

Data Mining, Predictive Analytics, Machine Learning, Segmentation, Optimisation, Business Rules Engine, Marketing Optimisation, Pricing Optimisation, Web Analytics, Geospatial Analytics.

For success in this role, you’ll have a proven ability to:

  • Design and implement a sophisticated analytical lifecycle management ecosystem – that includes continuous integration, functional performance monitoring and automated model training
  • Lead the design of analytical solution which can maximise code reuse, decouple system components, maximise portability and minimise technical debt
  • Apply advanced techniques to data to assess its promise for future analysis
  • Construct a reproducible data pipeline with appropriate tooling to transform it into candidate features for machine learning
  • Apply a range of visual presentation tools (including interactive and time dependant visualisations
  • Formulate and construct and apply appropriate learning algorithms and optimisation approaches to data

And the technical rundown…
You’ll have proven experience using a range of languages/tools/datastores that could include: R, SQL, SAS, Python, SPSS, Pig, Hive, Impala, RapidMiner, Salford Systems, Weka, KXEN, Matlab, Octave, Teradata, Aster, Oracle, Neo4J, Hadoop, Tableau, QlikView, Alteryn, Alphine Data Labs, Unica, SAS CI, SAS MO, Radar, QGIS, MapInfo, PostGIS, Git. 

If on top of all that you feel you have the ability to build and manage client relationships, then please hit the apply button to join a professional, high performing team who consult to tier one organisations.

Apply Now

Date Listed
[email protected]
Permanent / Full Time